Pandas Profiling Report

Dataset statistics

Number of variables	11
Number of observations	748
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	210.1 KiB
Average record size in memory	287.6 B

Variable types

Categorical	4
Numeric	7

Warnings

`Volumen (miles de kg)` is highly correlated with `Valor (miles de €)`	High correlation
`Valor (miles de €)` is highly correlated with `Volumen (miles de kg)`	High correlation
`Consumo per capita` is highly correlated with `Gasto per capita`	High correlation
`Gasto per capita` is highly correlated with `Consumo per capita`	High correlation
`Fecha` is highly correlated with `Año`	High correlation
`Año` is highly correlated with `Fecha`	High correlation
`Fecha` is uniformly distributed	Uniform
`CCAA` is uniformly distributed	Uniform
`Producto` is uniformly distributed	Uniform
`Volumen (miles de kg)` has unique values	Unique
`Valor (miles de €)` has unique values	Unique

Reproduction

Analysis started	2021-04-14 06:38:32.406968
Analysis finished	2021-04-14 06:38:38.597896
Duration	6.19 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Fecha
Categorical

HIGH CORRELATION
UNIFORM

Distinct	22
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	46.9 KiB

2018-07	34
2019-05	34
2018-10	34
2018-09	34
2019-11	34
Other values (17)	578

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	5236
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018-03
2nd row	2018-03
3rd row	2018-03
4th row	2018-03
5th row	2018-03

Value	Count	Frequency (%)
2018-07	34	4.5%
2019-05	34	4.5%
2018-10	34	4.5%
2018-09	34	4.5%
2019-11	34	4.5%
2019-06	34	4.5%
2018-06	34	4.5%
2018-08	34	4.5%
2018-05	34	4.5%
2020-06	34	4.5%
Other values (12)	408	54.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-07	34	4.5%
2019-05	34	4.5%
2018-10	34	4.5%
2018-09	34	4.5%
2019-11	34	4.5%
2019-06	34	4.5%
2018-06	34	4.5%
2018-08	34	4.5%
2018-05	34	4.5%
2020-06	34	4.5%
Other values (12)	408	54.5%

Most occurring characters

Value	Count	Frequency (%)
0	1564	29.9%
2	884	16.9%
1	816	15.6%
-	748	14.3%
8	374	7.1%
9	374	7.1%
3	102	1.9%
4	102	1.9%
5	102	1.9%
6	102	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4488	85.7%
Dash Punctuation	748	14.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1564	34.8%
2	884	19.7%
1	816	18.2%
8	374	8.3%
9	374	8.3%
3	102	2.3%
4	102	2.3%
5	102	2.3%
6	102	2.3%
7	68	1.5%

Value	Count	Frequency (%)
-	748	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5236	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1564	29.9%
2	884	16.9%
1	816	15.6%
-	748	14.3%
8	374	7.1%
9	374	7.1%
3	102	1.9%
4	102	1.9%
5	102	1.9%
6	102	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5236	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1564	29.9%
2	884	16.9%
1	816	15.6%
-	748	14.3%
8	374	7.1%
9	374	7.1%
3	102	1.9%
4	102	1.9%
5	102	1.9%
6	102	1.9%

Año
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	6.0 KiB

2019	306
2018	306
2020	136

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	2992
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018
2nd row	2018
3rd row	2018
4th row	2018
5th row	2018

Value	Count	Frequency (%)
2019	306	40.9%
2018	306	40.9%
2020	136	18.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
2018	306	40.9%
2019	306	40.9%
2020	136	18.2%

Most occurring characters

Value	Count	Frequency (%)
2	884	29.5%
0	884	29.5%
1	612	20.5%
8	306	10.2%
9	306	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2992	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	884	29.5%
0	884	29.5%
1	612	20.5%
8	306	10.2%
9	306	10.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2992	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	884	29.5%
0	884	29.5%
1	612	20.5%
8	306	10.2%
9	306	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2992	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	884	29.5%
0	884	29.5%
1	612	20.5%
8	306	10.2%
9	306	10.2%

Mes
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.545454545
Minimum	3
Maximum	11
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	4
median	6
Q3	9
95-th percentile	11
Maximum	11
Range	8
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.573017893
Coefficient of variation (CV)	0.3930999559
Kurtosis	-1.157823685
Mean	6.545454545
Median Absolute Deviation (MAD)	2
Skewness	0.2690193841
Sum	4896
Variance	6.620421078
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
6	102	13.6%
5	102	13.6%
4	102	13.6%
3	102	13.6%
11	68	9.1%
10	68	9.1%
9	68	9.1%
8	68	9.1%
7	68	9.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	102	13.6%
4	102	13.6%
5	102	13.6%
6	102	13.6%
7	68	9.1%
8	68	9.1%
9	68	9.1%
10	68	9.1%
11	68	9.1%

Value	Count	Frequency (%)
11	68	9.1%
10	68	9.1%
9	68	9.1%
8	68	9.1%
7	68	9.1%
6	102	13.6%
5	102	13.6%
4	102	13.6%
3	102	13.6%

CCAA
Categorical

UNIFORM

Distinct	17
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	58.1 KiB

Castilla-La Mancha	44
Aragón	44
Canarias	44
La Rioja	44
Castilla y León	44
Other values (12)	528

Length

Max length	26
Median length	13
Mean length	13.88235294
Min length	6

Characters and Unicode

Total characters	10384
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Andalucía
2nd row	Aragón
3rd row	Principado de Asturias
4th row	Illes Balears
5th row	Canarias

Value	Count	Frequency (%)
Castilla-La Mancha	44	5.9%
Aragón	44	5.9%
Canarias	44	5.9%
La Rioja	44	5.9%
Castilla y León	44	5.9%
Cantabria	44	5.9%
Comunitat Valenciana	44	5.9%
Galicia	44	5.9%
Región de Murcia	44	5.9%
Principado de Asturias	44	5.9%
Other values (7)	308	41.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	176	12.1%
comunidad	88	6.1%
comunitat	44	3.0%
murcia	44	3.0%
vasco	44	3.0%
galicia	44	3.0%
castilla	44	3.0%
cataluña\/catalunya	44	3.0%
la	44	3.0%
illes	44	3.0%
Other values (19)	836	57.6%

Most occurring characters

Value	Count	Frequency (%)
a	2024	19.5%
i	748	7.2%
	704	6.8%
n	616	5.9%
d	572	5.5%
l	572	5.5%
r	572	5.5%
e	440	4.2%
u	396	3.8%
s	396	3.8%
Other values (31)	3344	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8228	79.2%
Uppercase Letter	1320	12.7%
Space Separator	704	6.8%
Other Punctuation	88	0.8%
Dash Punctuation	44	0.4%

Most frequent character per category

Value	Count	Frequency (%)
a	2024	24.6%
i	748	9.1%
n	616	7.5%
d	572	7.0%
l	572	7.0%
r	572	7.0%
e	440	5.3%
u	396	4.8%
s	396	4.8%
t	396	4.8%
Other values (14)	1496	18.2%

Value	Count	Frequency (%)
C	396	30.0%
A	132	10.0%
L	132	10.0%
M	132	10.0%
P	88	6.7%
R	88	6.7%
V	88	6.7%
I	44	3.3%
B	44	3.3%
E	44	3.3%
Other values (3)	132	10.0%

Value	Count	Frequency (%)
\	44	50.0%
/	44	50.0%

Value	Count	Frequency (%)
	704	100.0%

Value	Count	Frequency (%)
-	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9548	91.9%
Common	836	8.1%

Most frequent character per script

Value	Count	Frequency (%)
a	2024	21.2%
i	748	7.8%
n	616	6.5%
d	572	6.0%
l	572	6.0%
r	572	6.0%
e	440	4.6%
u	396	4.1%
s	396	4.1%
t	396	4.1%
Other values (27)	2816	29.5%

Value	Count	Frequency (%)
	704	84.2%
-	44	5.3%
\	44	5.3%
/	44	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10120	97.5%
None	264	2.5%

Most frequent character per block

Value	Count	Frequency (%)
a	2024	20.0%
i	748	7.4%
	704	7.0%
n	616	6.1%
d	572	5.7%
l	572	5.7%
r	572	5.7%
e	440	4.3%
u	396	3.9%
s	396	3.9%
Other values (28)	3080	30.4%

Value	Count	Frequency (%)
ó	132	50.0%
í	88	33.3%
ñ	44	16.7%

Producto
Categorical

UNIFORM

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	54.9 KiB

T.HORTALIZAS FRESCAS	374
T.FRUTAS FRESCAS	374

Length

Max length	20
Median length	18
Mean length	18
Min length	16

Characters and Unicode

Total characters	13464
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	T.HORTALIZAS FRESCAS
2nd row	T.HORTALIZAS FRESCAS
3rd row	T.HORTALIZAS FRESCAS
4th row	T.HORTALIZAS FRESCAS
5th row	T.HORTALIZAS FRESCAS

Value	Count	Frequency (%)
T.HORTALIZAS FRESCAS	374	50.0%
T.FRUTAS FRESCAS	374	50.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
frescas	748	50.0%
t.frutas	374	25.0%
t.hortalizas	374	25.0%

Most occurring characters

Value	Count	Frequency (%)
S	2244	16.7%
A	1870	13.9%
T	1496	11.1%
R	1496	11.1%
F	1122	8.3%
.	748	5.6%
	748	5.6%
E	748	5.6%
C	748	5.6%
H	374	2.8%
Other values (5)	1870	13.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	11968	88.9%
Other Punctuation	748	5.6%
Space Separator	748	5.6%

Most frequent character per category

Value	Count	Frequency (%)
S	2244	18.8%
A	1870	15.6%
T	1496	12.5%
R	1496	12.5%
F	1122	9.4%
E	748	6.2%
C	748	6.2%
H	374	3.1%
O	374	3.1%
L	374	3.1%
Other values (3)	1122	9.4%

Value	Count	Frequency (%)
.	748	100.0%

Value	Count	Frequency (%)
	748	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11968	88.9%
Common	1496	11.1%

Most frequent character per script

Value	Count	Frequency (%)
S	2244	18.8%
A	1870	15.6%
T	1496	12.5%
R	1496	12.5%
F	1122	9.4%
E	748	6.2%
C	748	6.2%
H	374	3.1%
O	374	3.1%
L	374	3.1%
Other values (3)	1122	9.4%

Value	Count	Frequency (%)
.	748	50.0%
	748	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	2244	16.7%
A	1870	13.9%
T	1496	11.1%
R	1496	11.1%
F	1122	8.3%
.	748	5.6%
	748	5.6%
E	748	5.6%
C	748	5.6%
H	374	2.8%
Other values (5)	1870	13.9%

Volumen (miles de kg)
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	748
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17775.62045
Minimum	965.63
Maximum	74537.73
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	965.63
5-th percentile	2129.3885
Q1	6456.08
median	10615.795
Q3	24196.0375
95-th percentile	56062.028
Maximum	74537.73
Range	73572.1
Interquartile range (IQR)	17739.9575

Descriptive statistics

Standard deviation	16676.60417
Coefficient of variation (CV)	0.9381728314
Kurtosis	1.235871105
Mean	17775.62045
Median Absolute Deviation (MAD)	6314.4
Skewness	1.438292125
Sum	13296164.1
Variance	278109126.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27674.86	1	0.1%
34050.87	1	0.1%
10900.84	1	0.1%
41835.07	1	0.1%
24676.78	1	0.1%
9433.73	1	0.1%
56467.11	1	0.1%
10759.11	1	0.1%
10581.5	1	0.1%
2280.09	1	0.1%
Other values (738)	738	98.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
965.63	1	0.1%
1112	1	0.1%
1119.7	1	0.1%
1162.95	1	0.1%
1181.04	1	0.1%
1228.54	1	0.1%
1235.79	1	0.1%
1333.46	1	0.1%
1333.78	1	0.1%
1383.15	1	0.1%

Value	Count	Frequency (%)
74537.73	1	0.1%
71883.85	1	0.1%
71869.97	1	0.1%
71261.38	1	0.1%
69570.32	1	0.1%
69299.62	1	0.1%
69084	1	0.1%
68945.41	1	0.1%
68311.03	1	0.1%
68180.69	1	0.1%

Valor (miles de €)
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	748
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30127.16766
Minimum	1752.05
Maximum	152351.12
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	1752.05
5-th percentile	3876.7035
Q1	11580.1675
median	18621.025
Q3	42810.8075
95-th percentile	89290.8045
Maximum	152351.12
Range	150599.07
Interquartile range (IQR)	31230.64

Descriptive statistics

Standard deviation	27942.9279
Coefficient of variation (CV)	0.9274993325
Kurtosis	1.505808811
Mean	30127.16766
Median Absolute Deviation (MAD)	10961.045
Skewness	1.463166068
Sum	22535121.41
Variance	780807219.4
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6336.3	1	0.1%
3919.47	1	0.1%
23184.39	1	0.1%
88184.01	1	0.1%
30056.11	1	0.1%
70794.27	1	0.1%
80538.85	1	0.1%
8694.1	1	0.1%
5090.15	1	0.1%
6706.17	1	0.1%
Other values (738)	738	98.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1752.05	1	0.1%
2142.06	1	0.1%
2257.54	1	0.1%
2407.06	1	0.1%
2454.1	1	0.1%
2491.4	1	0.1%
2581.08	1	0.1%
2610.99	1	0.1%
2720.22	1	0.1%
2785.61	1	0.1%

Value	Count	Frequency (%)
152351.12	1	0.1%
136585.14	1	0.1%
134417.36	1	0.1%
125592.17	1	0.1%
120584.52	1	0.1%
119607.84	1	0.1%
117787.65	1	0.1%
116167.34	1	0.1%
114096.11	1	0.1%
113798.92	1	0.1%

Precio medio kg
Real number (ℝ_≥0)

Distinct	99
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.732954545
Minimum	1.14
Maximum	2.23
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	1.14
5-th percentile	1.39
Q1	1.59
median	1.74
Q3	1.89
95-th percentile	2.04
Maximum	2.23
Range	1.09
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.2030311483
Coefficient of variation (CV)	0.1171589577
Kurtosis	-0.3733476205
Mean	1.732954545
Median Absolute Deviation (MAD)	0.15
Skewness	-0.2139075562
Sum	1296.25
Variance	0.04122164719
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.72	18	2.4%
1.9	18	2.4%
1.87	17	2.3%
1.86	17	2.3%
1.81	17	2.3%
1.54	17	2.3%
1.61	16	2.1%
1.68	16	2.1%
1.67	16	2.1%
1.74	15	2.0%
Other values (89)	581	77.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.14	1	0.1%
1.15	1	0.1%
1.2	1	0.1%
1.21	2	0.3%
1.23	1	0.1%
1.24	3	0.4%
1.26	1	0.1%
1.28	2	0.3%
1.29	3	0.4%
1.3	3	0.4%

Value	Count	Frequency (%)
2.23	1	0.1%
2.21	1	0.1%
2.2	1	0.1%
2.18	3	0.4%
2.16	1	0.1%
2.15	1	0.1%
2.14	3	0.4%
2.13	4	0.5%
2.12	2	0.3%
2.11	1	0.1%

Penetración (%)
Real number (ℝ_≥0)

Distinct	488
Distinct (%)	65.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	95.64737968
Minimum	83.7
Maximum	99.93
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	83.7
5-th percentile	90.8835
Q1	94.57
median	96.215
Q3	97.365
95-th percentile	98.6265
Maximum	99.93
Range	16.23
Interquartile range (IQR)	2.795

Descriptive statistics

Standard deviation	2.47322656
Coefficient of variation (CV)	0.02585775552
Kurtosis	2.476143849
Mean	95.64737968
Median Absolute Deviation (MAD)	1.335
Skewness	-1.349754378
Sum	71544.24
Variance	6.116849617
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96.4	6	0.8%
97.89	5	0.7%
97.4	5	0.7%
97.44	4	0.5%
95.96	4	0.5%
96.09	4	0.5%
96.53	4	0.5%
95.81	4	0.5%
98.02	4	0.5%
96.73	4	0.5%
Other values (478)	704	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
83.7	1	0.1%
84.97	1	0.1%
85.18	1	0.1%
85.76	1	0.1%
85.94	1	0.1%
86.34	1	0.1%
87.01	1	0.1%
87.04	1	0.1%
87.12	1	0.1%
87.31	1	0.1%

Value	Count	Frequency (%)
99.93	1	0.1%
99.76	1	0.1%
99.75	1	0.1%
99.56	1	0.1%
99.55	1	0.1%
99.43	1	0.1%
99.41	1	0.1%
99.36	1	0.1%
99.21	1	0.1%
99.2	1	0.1%

Consumo per capita
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	466
Distinct (%)	62.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.669251337
Minimum	2.78
Maximum	14.29
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	2.78
5-th percentile	3.81
Q1	4.8875
median	6.475
Q3	8.2025
95-th percentile	10.2665
Maximum	14.29
Range	11.51
Interquartile range (IQR)	3.315

Descriptive statistics

Standard deviation	2.071850598
Coefficient of variation (CV)	0.3106571478
Kurtosis	-0.600069684
Mean	6.669251337
Median Absolute Deviation (MAD)	1.65
Skewness	0.3977149357
Sum	4988.6
Variance	4.292564901
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.52	7	0.9%
7.17	7	0.9%
4.97	4	0.5%
8.12	4	0.5%
3.85	4	0.5%
4.48	4	0.5%
8.03	4	0.5%
5.56	4	0.5%
5.35	4	0.5%
5.1	4	0.5%
Other values (456)	702	93.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.78	1	0.1%
3.05	1	0.1%
3.16	1	0.1%
3.25	1	0.1%
3.35	2	0.3%
3.37	1	0.1%
3.38	1	0.1%
3.41	2	0.3%
3.43	1	0.1%
3.46	2	0.3%

Value	Count	Frequency (%)
14.29	1	0.1%
12.86	1	0.1%
12.31	1	0.1%
11.89	1	0.1%
11.7	1	0.1%
11.56	1	0.1%
11.51	1	0.1%
11.38	1	0.1%
11.26	1	0.1%
11.2	1	0.1%

Gasto per capita
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	557
Distinct (%)	74.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.37536096
Minimum	5.54
Maximum	27.63
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	5.54
5-th percentile	6.9235
Q1	8.935
median	10.935
Q3	13.2525
95-th percentile	17.2995
Maximum	27.63
Range	22.09
Interquartile range (IQR)	4.3175

Descriptive statistics

Standard deviation	3.324742988
Coefficient of variation (CV)	0.292275823
Kurtosis	1.154433315
Mean	11.37536096
Median Absolute Deviation (MAD)	2.16
Skewness	0.9066751329
Sum	8508.77
Variance	11.05391593
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.76	4	0.5%
11.01	4	0.5%
12.02	4	0.5%
10.55	4	0.5%
11.38	3	0.4%
10.17	3	0.4%
12.4	3	0.4%
12.04	3	0.4%
13.9	3	0.4%
12.2	3	0.4%
Other values (547)	714	95.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.54	1	0.1%
5.61	1	0.1%
5.66	1	0.1%
5.69	1	0.1%
5.72	1	0.1%
5.76	1	0.1%
5.9	1	0.1%
6.21	1	0.1%
6.26	1	0.1%
6.36	1	0.1%

Value	Count	Frequency (%)
27.63	1	0.1%
24.24	1	0.1%
23.07	1	0.1%
22.22	1	0.1%
22.05	1	0.1%
21.45	1	0.1%
21.39	1	0.1%
21.26	1	0.1%
20.98	1	0.1%
20.75	1	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Fecha	Año	Mes	CCAA	Producto	Volumen (miles de kg)	Valor (miles de €)	Precio medio kg	Penetración (%)	Consumo per capita	Gasto per capita
0	2018-03	2018	3	Andalucía	T.HORTALIZAS FRESCAS	38505.79	66399.93	1.72	96.93	4.43	7.64
1	2018-03	2018	3	Aragón	T.HORTALIZAS FRESCAS	7578.78	13834.07	1.83	98.11	5.77	10.54
2	2018-03	2018	3	Principado de Asturias	T.HORTALIZAS FRESCAS	3701.71	7008.99	1.89	93.71	3.41	6.46
3	2018-03	2018	3	Illes Balears	T.HORTALIZAS FRESCAS	5728.03	10921.54	1.91	95.81	5.56	10.60
4	2018-03	2018	3	Canarias	T.HORTALIZAS FRESCAS	10900.84	19963.16	1.83	97.72	4.99	9.13
5	2018-03	2018	3	Cantabria	T.HORTALIZAS FRESCAS	1875.96	3166.49	1.69	95.39	3.37	5.69
6	2018-03	2018	3	Castilla-La Mancha	T.HORTALIZAS FRESCAS	9127.26	15770.06	1.73	97.94	4.35	7.52
7	2018-03	2018	3	Castilla y León	T.HORTALIZAS FRESCAS	8873.43	15699.99	1.77	94.57	3.63	6.42
8	2018-03	2018	3	Cataluña\/Catalunya	T.HORTALIZAS FRESCAS	44416.70	81759.89	1.84	97.76	6.42	11.82
9	2018-03	2018	3	Extremadura	T.HORTALIZAS FRESCAS	4532.87	8213.68	1.81	98.83	3.84	6.97

Last rows

	Fecha	Año	Mes	CCAA	Producto	Volumen (miles de kg)	Valor (miles de €)	Precio medio kg	Penetración (%)	Consumo per capita	Gasto per capita
738	2020-06	2020	6	Castilla y León	T.FRUTAS FRESCAS	25494.94	42843.78	1.68	95.47	11.12	18.69
739	2020-06	2020	6	Cataluña\/Catalunya	T.FRUTAS FRESCAS	68945.41	136585.14	1.98	96.86	9.98	19.77
740	2020-06	2020	6	Extremadura	T.FRUTAS FRESCAS	9673.89	16051.33	1.66	96.93	8.63	14.32
741	2020-06	2020	6	Galicia	T.FRUTAS FRESCAS	26235.77	50627.47	1.93	94.98	10.11	19.50
742	2020-06	2020	6	La Rioja	T.FRUTAS FRESCAS	2419.76	4879.42	2.02	99.03	7.88	15.90
743	2020-06	2020	6	Comunidad de Madrid	T.FRUTAS FRESCAS	62836.45	112799.10	1.80	97.16	10.32	18.53
744	2020-06	2020	6	Región de Murcia	T.FRUTAS FRESCAS	14095.66	22926.48	1.63	96.16	10.15	16.51
745	2020-06	2020	6	Comunidad Foral de Navarra	T.FRUTAS FRESCAS	6188.89	11851.16	1.91	96.03	10.78	20.63
746	2020-06	2020	6	País Vasco	T.FRUTAS FRESCAS	22219.73	43357.87	1.95	97.85	10.96	21.39
747	2020-06	2020	6	Comunitat Valenciana	T.FRUTAS FRESCAS	43709.98	78115.91	1.79	95.94	9.38	16.77

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows